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17. DOLAP 2014: Shanghai, China
- Il-Yeol Song, Alkis Simitsis, Alfredo Cuzzocrea:
Proceedings of the 17th International Workshop on Data Warehousing and OLAP, DOLAP 2014, Shanghai, China, November 3-7, 2014. ACM 2014, ISBN 978-1-4503-0999-8
Keynote Talk
- Minos N. Garofalakis:
Querying Big, Dynamic, Distributed Data. 1
Exotic Data and Data Generation
- Lorenzo Baldacci, Matteo Golfarelli, Simone Graziani, Stefano Rizzi:
GOLAM: A Framework for Analyzing Genomic Data. 3-12 - Ove Andersen, Benjamin Bjerre Krogh, Christian Thomsen, Kristian Torp:
An Advanced Data Warehouse for Integrating Large Sets of GPS Data. 13-22 - Emona Nakuçi, Vasileios Theodorou, Petar Jovanovic, Alberto Abelló:
Bijoux: Data Generator for Evaluating ETL Process Quality. 23-32 - Matteo Golfarelli, Marco Mantovani, Federico Ravaldi, Stefano Rizzi:
From Business Intelligence to Location Intelligence with the Lily Library. 33-36
Modeling
- Julien Aligon, Kamal Boulil, Patrick Marcel, Verónika Peralta:
A Holistic Approach to OLAP Sessions Composition: The Falseto Experience. 37-46 - Renato Fileto, Alessandra Raffaetà, Alessandro Roncato, Juarez A. P. Sacenti, Cleto May, Douglas Klein:
A Semantic Model for Movement Data Warehouses. 47-56 - Jovan Varga, Oscar Romero, Torben Bach Pedersen, Christian Thomsen:
SM4AM: A Semantic Metamodel for Analytical Metadata. 57-66 - Vasileios Theodorou, Alberto Abelló, Maik Thiele, Wolfgang Lehner:
A Framework for User-Centered Declarative ETL. 67-70
Query Processing, Flow Optimization, and Physical Design
- Carlos Ordonez, Achyuth Gurram, Nirmala Rai:
Recursive Query Evaluation in a Column DBMS to Analyze Large Graphs. 71-80 - Varunya Attasena, Nouria Harbi, Jérôme Darmont:
fVSS: A New Secure and Cost-Efficient Scheme for Cloud Data Warehouses. 81-90 - Cheikh Salmi, Abdelhakim Nacef, Ladjel Bellatreche, Jalil Boukhobza:
What can Emerging Hardware do for your DBMS Buffer? 91-94 - Georgia Kougka, Anastasios Gounaris:
Optimization of Data-intensive Flows: Is it Needed? Is it Solved? 95-98 - Alfredo Cuzzocrea, Il-Yeol Song:
Big Graph Analytics: The State of the Art and Future Research Agenda. 99-101
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